Title :
A New Approach to Improve Signal Classification in Low SNR Environment in Spectrum Sensing
Author :
Liu, Hang ; Yu, Dan ; Kong, Xiangwei
Author_Institution :
Dept. of Electron. Eng., Dalian Univ. of Technol., Dalian
Abstract :
The performance of cognitive radio is sensitive to the accuracy of signal classification. The proposed method can increase the accuracy of existing methods on the certain degree at SNR=0 dB and below. In simulation, we classify five types of signals which are AM, BPSK, FSK, MSK and QPSK. The experiments show that above 99.9% received signals are correctly classified at SNR=-12 dB and above.
Keywords :
cognitive radio; modulation; signal classification; cognitive radio; signal classification; spectrum sensing; Binary phase shift keying; Chromium; Cognitive radio; Frequency shift keying; Pattern classification; Quadrature phase shift keying; Signal processing; Support vector machine classification; Support vector machines; Wireless sensor networks; cognitive radio; signal classification; spectrum sensing; wireless communications;
Conference_Titel :
Cognitive Radio Oriented Wireless Networks and Communications, 2008. CrownCom 2008. 3rd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2301-9
Electronic_ISBN :
978-1-4244-2302-6
DOI :
10.1109/CROWNCOM.2008.4562526
